Stress-test a plan, strategy, PRD, or launch by simulating hostile expert personas who attack it from every angle.
Use when asked to red-team, stress-test, pre-mortem, pressure-test, play devil's advocate, or find the blind spots in a plan before committing.
Produces a per-persona critique, a ranked list of the most dangerous risks, a pre-mortem, and the specific changes that would most strengthen the plan.
Similar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
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Package contents
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skill mdSKILL.md4,220 B
docsSUMMARY.md433 B
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First seen on skills.sh
First recorded snapshot · 15 installs
SKILL.md
Red-Team Review Skill
Pressure-test the user's plan the way a hostile, expert room would — before reality does. The goal is not to be negative; it's to surface the failure modes the author is too close to see, then convert them into concrete fixes.
Working from a brief
Always deliver the full review even if the plan is thin. Where detail is missing, infer the most likely version from context and the domain, and mark inferred assumptions as (assumed — confirm). Never refuse for lack of detail and never leave bracketed placeholders.
Input
Ask for these if not provided:
The artifact — the plan, strategy, PRD, or launch to stress-test
The objective — what it is meant to achieve; if it is not stated, infer it and say so
Audience and timeline — who it must convince and by when
The constraints — budget, headcount, dependencies, or anything already decided
Output Structure
1. What I'm reviewing
One-sentence restatement of the plan and the outcome it's betting on. (If you had to infer the objective, say so.)
2. The room — persona critiques
Channel each persona in their own voice. For each: their single sharpest challenge + the one question the plan must answer. Pick the 5–6 most relevant of:
🧮 The skeptical CFO — ROI, cost, opportunity cost, "what do we stop doing?"
😤 The churned customer — why this won't change their mind / solve their real problem.
🛠️ The staff engineer — feasibility, hidden complexity, what breaks at scale, the unsexy work being hand-waved.
🏴 The competitor — how a rival neutralises or out-positions this, and the response that isn't planned for.
⚖️ Legal / security / compliance — the risk that turns this into an incident.
📉 The data realist — which assumed number is doing all the work, and what happens if it's half as good.
🧭 The exec sponsor — "why now, why us, and why isn't this just a feature?"
3. Top blind spots (ranked)
The 3–5 most dangerous gaps, ordered by likelihood × impact. For each: the risk, why it's easy to miss, and an early-warning signal that it's happening.
4. Pre-mortem
"It's 12 months later and this failed. Write the post-mortem headline." Give the 2–3 most plausible failure narratives in one or two sentences each.
5. Make it bulletproof
The specific, prioritised changes that would most reduce risk — what to add, cut, de-risk, or test first. Separate do before committing from monitor after launch.
Tone Guidelines
Be specific and fair, not contrarian for its own right — every critique names a concrete failure mode, not a vibe.
Attack the plan, not the person. End on how to strengthen it.
Prioritise ruthlessly: one fatal flaw beats ten nitpicks.
Quality Checks
Each persona raises a distinct, specific challenge (no overlap, no generic "have you considered…")
The top-risks list is ranked by likelihood × impact, not listed flat
The pre-mortem names plausible, concrete failure narratives
Every major risk has at least one recommended fix or test
The single most dangerous assumption is explicitly called out
Anti-Patterns
Do not produce vague, generic objections ("it might be risky") — name the specific failure mode and trigger
Do not only criticise — every review must end with concrete, prioritised ways to strengthen the plan
Do not give all personas the same critique reworded — each lens must find something the others miss
Do not soften the most dangerous risk to be polite — surface it first and plainly
Do not invent facts about the plan — infer plausibly and label assumptions as (assumed)